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GLIDE: a diffusion-based text-conditional image synthesis model

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GLIDE

This is a fork of the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

For the blogpost this repo is based on, go to: blog.paperspace.com/glide-image-generation/

Gradient

For details on the pre-trained models in this repository, see the Model Card.

Usage

To install this package, clone this repository and then run:

pip install -e .

For detailed usage examples, see the notebooks directory.

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GLIDE: a diffusion-based text-conditional image synthesis model

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  • Python 82.9%
  • Jupyter Notebook 17.1%